Catecholate Dye-Assisted Decoration of Ag on TiO<sub>2</sub> Nanoparticles for Detection of Cancer-Related MicroRNA Biomarkers on a Multiplexed Photoelectrochemical Platform
Bibliographic record
Abstract
Photoelectrochemical (PEC) signal transduction has emerged as a powerful technique for ultrasensitive biosensing with a low background in complex media. However, it remains challenging to create PEC biosensors found on stable materials that are easily biofunctionalized. Herein, we report the development of a one-pot synthesis method for TiO 2 nanoparticles (NPs) decorated with Ag NPs. In this nanomaterial synthesis process, TiO 2 NPs are modified with hematoxylin (HTX) dye to achieve enhanced photoreduction and direct nucleation of Ag NPs. The resulting TiO 2 /HTX/Ag NP heterostructure showed significantly enhanced photocurrent generation, necessary for achieving high sensitivity in PEC biosensing, through the combined effects of plasmon resonance and photoelectron injection. TiO 2 /HTX/Ag NP is very easily biofunctionalized through thiol–metal complexation. This was taken as an advantage to create a multiplexing PEC microRNA sensor for the analysis of urine samples, which demonstrated a low limit of detection of 172 fM and a high dynamic range of 100 fM–100 nM, while showing a high degree of specificity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".